{"id":"https://openalex.org/W2791646565","doi":"https://doi.org/10.1080/03610918.2018.1440301","title":"The gamma generalized linear model, log transformation, and the robust Yuen-Welch test for analyzing group means with skewed and heteroscedastic data","display_name":"The gamma generalized linear model, log transformation, and the robust Yuen-Welch test for analyzing group means with skewed and heteroscedastic data","publication_year":2018,"publication_date":"2018-02-28","ids":{"openalex":"https://openalex.org/W2791646565","doi":"https://doi.org/10.1080/03610918.2018.1440301","mag":"2791646565"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2018.1440301","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1440301","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://yorkspace.library.yorku.ca/bitstreams/2b49d900-8146-41cf-a852-ac617c285196/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072493747","display_name":"Victoria Ka Yin Ng","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Victoria K. Y. Ng","raw_affiliation_strings":["Department of Psychology, York University, Toronto, Ontario"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, York University, Toronto, Ontario","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033242086","display_name":"Robert A. Cribbie","orcid":"https://orcid.org/0000-0002-9247-497X"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert A. Cribbie","raw_affiliation_strings":["Department of Psychology, York University, Toronto, Ontario"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, York University, Toronto, Ontario","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072493747"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":1.3751,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.82075414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"48","issue":"8","first_page":"2269","last_page":"2286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"Heteroscedasticity","score":0.8813972473144531},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5880715250968933},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5839588642120361},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5687168836593628},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5662335753440857},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4797317087650299},{"id":"https://openalex.org/keywords/generalized-linear-model","display_name":"Generalized linear model","score":0.46656858921051025},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.45032113790512085},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.43039119243621826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27549657225608826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12475541234016418}],"concepts":[{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.8813972473144531},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5880715250968933},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5839588642120361},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5687168836593628},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5662335753440857},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4797317087650299},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.46656858921051025},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.45032113790512085},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.43039119243621826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27549657225608826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12475541234016418},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/03610918.2018.1440301","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1440301","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},{"id":"pmh:oai:yorkspace.library.yorku.ca:10315/34452","is_oa":true,"landing_page_url":"http://hdl.handle.net/10315/34452","pdf_url":"https://yorkspace.library.yorku.ca/bitstreams/2b49d900-8146-41cf-a852-ac617c285196/download","source":{"id":"https://openalex.org/S4306401988","display_name":"York University Digital Library (York University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I192455969","host_organization_name":"York University","host_organization_lineage":["https://openalex.org/I192455969"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:yorkspace.library.yorku.ca:10315/34452","is_oa":true,"landing_page_url":"http://hdl.handle.net/10315/34452","pdf_url":"https://yorkspace.library.yorku.ca/bitstreams/2b49d900-8146-41cf-a852-ac617c285196/download","source":{"id":"https://openalex.org/S4306401988","display_name":"York University Digital Library (York University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I192455969","host_organization_name":"York University","host_organization_lineage":["https://openalex.org/I192455969"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6662169658","display_name":null,"funder_award_id":"435-2016-1057","funder_id":"https://openalex.org/F4320334617","funder_display_name":"Social Sciences and Humanities Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334617","display_name":"Social Sciences and Humanities Research Council of Canada","ror":"https://ror.org/04j5jqy92"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2791646565.pdf","grobid_xml":"https://content.openalex.org/works/W2791646565.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W129305155","https://openalex.org/W642783518","https://openalex.org/W1576726980","https://openalex.org/W1923220209","https://openalex.org/W1970010064","https://openalex.org/W1976263997","https://openalex.org/W1979166475","https://openalex.org/W1990052590","https://openalex.org/W1990686237","https://openalex.org/W1994162483","https://openalex.org/W2014005575","https://openalex.org/W2016274652","https://openalex.org/W2026036082","https://openalex.org/W2043763571","https://openalex.org/W2048489440","https://openalex.org/W2052561043","https://openalex.org/W2054777721","https://openalex.org/W2070508351","https://openalex.org/W2077158601","https://openalex.org/W2079484991","https://openalex.org/W2102493402","https://openalex.org/W2111669400","https://openalex.org/W2113096305","https://openalex.org/W2118421612","https://openalex.org/W2135874888","https://openalex.org/W2148755480","https://openalex.org/W2168627095","https://openalex.org/W2168745915","https://openalex.org/W2582743722","https://openalex.org/W2604541928","https://openalex.org/W2620799017","https://openalex.org/W2737674276","https://openalex.org/W2801490189","https://openalex.org/W3044681081","https://openalex.org/W3098635759","https://openalex.org/W3124564277","https://openalex.org/W4205102929","https://openalex.org/W4243698895","https://openalex.org/W4253749611","https://openalex.org/W4300419391","https://openalex.org/W4301221590"],"related_works":["https://openalex.org/W1676609285","https://openalex.org/W3148934225","https://openalex.org/W2351648145","https://openalex.org/W2038165226","https://openalex.org/W2052845382","https://openalex.org/W4254549582","https://openalex.org/W2148483050","https://openalex.org/W3124109721","https://openalex.org/W4395078573","https://openalex.org/W2916152223"],"abstract_inverted_index":{"Alternatives":[0],"for":[1,71,81],"positively":[2],"skewed":[3],"and":[4,14,38,75,84],"heteroscedastic":[5],"data":[6,12,85],"include":[7],"the":[8,15,21,30,54,60,72,77,82],"Yuen-Welch":[9],"(YW)":[10],"test,":[11],"transformations,":[13],"generalized":[16],"linear":[17],"model":[18],"(GzLM).":[19],"Because":[20],"GzLM":[22,65],"is":[23,58],"rarely":[24],"considered":[25],"in":[26,79],"psychology":[27],"compared":[28,34],"to":[29],"other":[31],"two,":[32],"we":[33],"these":[35],"strategies":[36],"conceptually":[37],"empirically.":[39],"The":[40,63],"YW":[41,83],"test":[42],"generally":[43],"has":[44],"satisfactory":[45],"power,":[46],"but&#13;\\nits":[47],"trimmed":[48],"mean":[49],"can":[50,66],"deviate":[51],"substantially":[52],"from":[53],"arithmetic":[55],"mean,":[56],"which":[57],"often":[59],"desired":[61],"parameter.":[62],"gamma":[64],"be":[67],"used":[68],"asa":[69],"substitute":[70],"log":[73],"transformation":[74],"addresses":[76],"limitations":[78],"inference":[80],"transformations.":[86]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
